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- W2790583008 abstract "This chapter builds an agent-based model that draws on recent behavioral explanations of individual tax compliance. The taxpayers in the model form subjective beliefs about the probability of audit from social interaction, and they are guided by a social custom that is developed from meeting other taxpayers. The belief and social custom feed into an occupational choice decision between employment and alternative forms of self-employment. It is shown that applying predictive analytics to tax return data in order to target taxpayers for audit yields a significant increase in revenue over a random audit strategy by affecting the subjective belief and enhancing the social custom." @default.
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- W2790583008 date "2018-02-27" @default.
- W2790583008 modified "2023-10-14" @default.
- W2790583008 title "Using Agent‐Based Modeling to Analyze Tax Compliance and Auditing" @default.
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- W2790583008 doi "https://doi.org/10.1002/9781119155713.ch4" @default.
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